Sensing and responding to service discoveries

ABSTRACT

A system and method of sensing and responding to service discoveries on a consumer&#39;s machine and, more particularly, to a system and method of sensing (discovering) service needs on a consumer&#39;s machine using a resident Daemon, and responding to the service discoveries using an extension of UDDI. The method comprises receiving a keyword from a local machine, locating a service associated with the keyword, and notifying the local machine about the service that matches the keyword.

FIELD OF THE INVENTION

The invention generally relates to a system and method of sensing and responding to service discoveries on a consumer's machine and, more particularly, to a system and method of sensing (discovering) service needs on a consumer's machine using a resident Daemon, and responding to the service discoveries using an extension of Universal Description, Discovery and Integration (UDDI).

BACKGROUND OF THE INVENTION

Universal Description, Discovery, and Integration (UDDI) is a platform-independent, XML-based registry. UDDI is an open industry initiative, which enables companies to publish service listings and define how the services or software applications interact over the Internet. The ultimate goal of UDDI is to streamline online transactions by enabling companies to find one another on the Web and make their systems interoperable for e-commerce.

The UDDI registry service manages information about service providers, service implementations, and service metadata. For example, service providers can use UDDI to advertise their services and service consumers can use UDDI to discover services that suit their requirements and to obtain the service metadata needed to consume those services. Thus, the UDDI depends on the service provider to register its services on the registry.

Currently, many companies maintain a registry such as, for example, International Business Machines, Corp. (IBM). (IBM is a trademark of International Business Machines, Corp. in the United States, other countries, or both.) The IBM registry, for example, is a registry server that is interoperable with servers from other members. In this manner, as information goes into the registry server, servers in other companies or members can share the information.

A UDDI registration typically consists of three components:

-   -   White Pages: address, contact, and known identifiers;     -   Yellow Pages: industrial categorizations based on standard         taxonomies; and     -   Green Pages: technical information about services exposed by the         business.         UDDI registration is open to companies worldwide.

The UDDI specification utilizes World Wide Web Consortium (W3C) and Internet Engineering Task Force (IETF) standards such as XML, HTTP, and Domain Name System (DNS) protocols. It has also adopted Simple Object Access Protocol (SOAP) messaging guidelines for cross platform programming. For example, the UDDI is designed to be interrogated by, for example, SOAP messages and to provide access to Web Services Description Language documents describing the protocol bindings and message formats required to interact with the web services listed in its directory.

In operation, the UDDI is not a service running on the consumer's machine; instead, the service is running on the Internet. To gain access to the UDDI, the user accesses the UDDI registry via a public address. Once the user gains access to the UDDI, it requests certain services, at which time the UDDI searches its database for such services. The UDDI will then return a list of possible services. In this way, the UDDI relies on the user to proactively determine its service requirements and request such services from the UDDI. This is time consuming and relies very heavily on the user knowing its specific needs.

Accordingly, there exists a need in the art to overcome the deficiencies and limitations described hereinabove.

SUMMARY OF THE INVENTION

In a first aspect of the invention, a method comprises receiving a keyword from a local machine, locating a service associated with the keyword, and notifying the local machine about the service that matches the keyword. In another aspect of the invention, the method comprises searching for keywords on a local machine, providing the keywords to a third party, and receiving notification from the third party that at least one keyword matches a service provided by a service machine.

In yet another aspect of the invention, the method deploys an application for discovering and providing consumer services in a computing environment. The method comprises providing a computer infrastructure being operable to match a keyword received from a local machine to a keyword list maintained by an extension to a UDDI, where the keyword list has keywords which are associated with services offered by one or more service groups. The computer infrastructure is also operable to provide service information that matches the keyword to the local machine.

In another aspect of the invention, a system comprising a server has a database containing data associated with one or more services offered by one or more service group. At least one of a hardware and software component matches the list of keywords with keywords obtained by a daemon residing on a local machine and provides service information to a local machine associated with the keyword, when a match is found with the keyword.

In another aspect of the invention, a computer program product comprising a computer usable medium having readable program code embodied in the medium is provided. The computer program product includes at least one component to perform the steps of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an illustrative environment for implementing the steps in accordance with the invention;

FIG. 2 is a graphical representation of a system in accordance with the invention; and

FIG. 3 is a flow chart of steps for implementing aspects of the invention.

DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION

The invention generally relates to a system and method of sensing and responding to service discoveries on a consumer's machine and, more particularly, to a system and method of sensing (discovering) service needs on a consumer's machine using a Daemon residing on the consumer's machine. In implementation, once the service needs are discovered, an extension to the UDDI can provide service information in response to the service discoveries. In this way, the invention improves existing service-oriented architectures and sense-and-respond business processes and technologies by providing sense-and-respond systems which automatically provide services or service information to a consumer machine. The system and method of the invention is platform independent and can be implemented within any database, on a single workstation or provided over a distributed network such as, for example, the Internet and more specifically on the World Wide Web.

In operation, the consumer is automatically notified of new services that may be applicable to the consumer, without requiring the consumer to configure their machines (other than installation). By way of example, the system and method of the invention is configured to sense the consumer's environment, via the use of Daemon (Local Sense-And-Respond Daemon (LSARD)) searching for keywords on the resident machine and, in turn, respond to that environment by way of an extension to the UDDI. The LSARD resides on a local consumer, or client, machine, as part of a Services-Oriented Architecture (SOA).

More specifically, the LSARD is configured to search the local machine for keywords, and notify a Central Service Discovery Program (CSDP) of new or potential services required by the consumer. In embodiments, the CSDP, as an extension of a UDDI, is configured to automatically match the needs of consumer machines with the services of service machines using the keywords. The CSDP works as a message hub in SOA. The CSDP will maintain a list of keywords associated with one or more service groups. It should be understood that the CSDP keeps the service information with multiple attributes about the nature of them such as provider ID, etc. The CSDP, in implementation, is configured to categorize the services into different groups by using any criteria on top of these attributes. In this way, the service group dynamic, existing in the run-time data processing, and all of the services are persistent as siblings in one list. However, in further embodiments, the invention will still work without the concept of groups being introduced; although, grouping services allows the CSDP more flexibility in matchmaking.

FIG. 1 shows an illustrative environment 10 for managing the processes in accordance with the invention. To this extent, the environment 10 includes a computer infrastructure 12 that can perform the processes described herein. In particular, the computer infrastructure 12 includes a computing device 14 that comprises a management system 30, which makes computing device 14 operable to discover services that are needed by the consumer, etc. in accordance with the invention, e.g., process described herein. In embodiments, the management system 30 includes a daemon, which resides on the local machine. The daemon 30 is configured to search for keywords on the local machine, and provide such keywords to a Central Service Discovery Program (CSDP) 40. (As discussed in more detail below, the daemon is a sense and discovery system.) The CSDP 40 is an extension of a UDDI 50. The CSDP 50 is also connected to one or more service providers 60.

The computing device 14 includes a processor 20, a memory 22A, an input/output (I/O) interface 24, and a bus 26. Further, the computing device 14 is in communication with an external I/O device/resource 28 and a storage system 22B, as well as the CSDP 50, which is an extension of the UDDI 60.

In general, the processor 20 executes computer program code, which is stored in memory 22A and/or storage system 22B. While executing computer program code, the processor 20 can read and/or write data to/from memory 22A, storage system 22B, and/or I/O interface 24. The bus 26 provides a communications link between each of the components in the computing device 14. The I/O device 28 can comprise any device that enables an individual to interact with the computing device 14 or any device that enables the computing device 14 to communicate with one or more other computing devices using any type of communications link.

The computing device 14 can comprise any general purpose computing article of manufacture capable of executing computer program code installed thereon (e.g., a personal computer, server, handheld device, etc.). However, it is understood that the computing device 14 is only representative of various possible equivalent-computing devices that may perform the processes described herein. To this extent, in embodiments, the functionality provided by computing device 14 can be implemented by a computing article of manufacture that includes any combination of general and/or specific purpose hardware and/or computer program code. In each embodiment, the program code and hardware can be created using standard programming and engineering techniques, respectively.

Similarly, the computer infrastructure 12 is only illustrative of various types of computer infrastructures for implementing the invention. For example, in embodiments, the computer infrastructure 12 comprises two or more computing devices (e.g., a server cluster) that communicate over any type of communications link, such as a network, a shared memory, or the like, to perform the process described herein. Further, while performing the processes described herein, one or more computing devices in the computer infrastructure 12 can communicate with one or more other computing devices external to computer infrastructure 12 (such as, for example, the CSDP 40 and UDDI 50) using any type of communications link. The communications link can comprise any combination of wired and/or wireless links; any combination of one or more types of networks (e.g., the Internet, a wide area network, a local area network, a virtual private network, etc.); and/or utilize any combination of transmission techniques and protocols.

In embodiments, the invention provides a business method that performs the process steps of the invention on a subscription, advertising, and/or fee basis. That is, a service provider (e.g., CSDP), such as a Solution Integrator, could offer to perform the processes described herein. In this case, the service provider can create, maintain, deploy and/or support, etc., a computer infrastructure that performs the process steps of the invention for one or more customers. In return, the service provider can receive payment from the customer(s) under a subscription and/or fee agreement and/or the service provider can receive payment from the sale of advertising content to one or more third parties.

FIG. 2 is a graphical representation of the system in accordance with the invention. This graphical representation is used to discuss the inventive concepts herein and is not meant to be a limiting feature of the present invention. In an embodiment, a CSDP 40 is provided as an extension of a UDDI 50. The CSDP 40 is configured to provide a bridge between the consumer machines 1 through n and the service machines, 1 through 3, and is further configured to match services to the consumers' needs. Although three consumer machines and service machines are illustrated, it should be understood that more or less than three consumer machines and service machines are contemplated by the invention. In implementation, the CSDP 40 maintains a set of service lists, where each list is for each service group connected to the CSDP 40. For each service in a service list, a set of keywords is maintained. The keywords may be provided by the UDDI, the service machines or generated internally.

Still referring to FIG. 2, each consumer (or client) machine includes a Local Sense-And-Respond Daemon (LSARD) 30. The LSARD 30 resides on each consumer machine and is configured to be a local search program. For example, the LSARD 30 is configured to discover the needs of the consumer machine and to notify the CSDP 40 of new potential needs of the consumer, via the use of keywords found on exposed data sources.

By way of illustration, the LSARD 30 is configured to search the local machine for keywords, which is to be maintained in a master keyword list. The master keyword list is preferably resident on and maintained by the CSDP 40, for example. In embodiments, the LSARD 30 searches all exposed data sources (applications and files) for keywords, or words that were not previously found in prior searches. The exposed data sources may be email or other applications in addition, to or alternatively, content files (e.g., html, pdf, .doc, etc.). In further embodiments, the LSARD 30 may search for only certain keywords, which are maintained and provided by the CSDP 40. In either scenario, the keywords are provided to the CSDP 40 in order to determine if there are any available services.

In operation, the LSARD 30 will search its local machine for new keywords on a periodic basis, such as, for example, daily, hourly, etc. As such, the LSARD 30 can search its local machine on any predetermined schedule. In this manner, the keyword search can be easily managed, since it is conducted on a regular basis. That is, since the keyword search is conducted on a regular basis, only a limited number of keywords will typically be found. In implementation, there is no need to index the entire local machine.

Once a keyword (or keywords) is found, the LSARD 30 will provide the keyword to the CSDP 40. The CSDP 40 will index the keyword, and compare the keyword to the keywords maintained in the set of service lists of the CSDP 40, for each service group connected to the CSDP 40. In embodiments, the index can be refreshed with the found keywords, as well as any new keywords provided by the service machine or UDDI. Once refreshed, the CSDP 40 will determine if there are any matches between the keyword(s) found on the consumer machine and the keywords maintained in the set of service lists. The keyword from either the local machine or the service machine may be provided via any known mode of communication, preferably email, to the CSDP 40.

If a keyword match is found, the CSDP 40 is configured to determine which service machine provides a service matching the keyword found on the local machine. Once the CSDP 40 determines the matching service provider, in embodiments, the CSDP 40 will provide connection information of the service machine to the local machine. In alternative embodiments, the CSDP 40 may act as a conduit between the CSDP 40 and the local machine, by providing the service directly to the local machine via the service machine. In either embodiment, the CSDP may act as a service provider, providing the information or service, itself, on a fee or subscription basis.

In further embodiments, the CSDP 40 may maintain a database of the keywords provided by the local machine. If a keyword match is not initially found, in embodiments, the CSDP 40 may periodically search its database for matches. That is, when additional or new services are listed in the UDDI 50, the CSDP 40 may update its master keyword list with keyword(s) associated with such services. The CSDP 40 may then periodically search its database to determine if there are any matches with the new or additional services and the keywords (found on the consumer machine) already stored within its database. If any matches are found (e.g., with the saved keywords and the keywords associated with new services in the master keyword list maintained by the CSDP 40), the CSDP 40 will provide connection information of the service machine having the new or additional service to the local machine. In alternative embodiments, the CSDP 40 may provide the service directly to the local machine.

In still alternative embodiments, the CSDP 40 may provide the keywords found on the local machine(s) to an appropriate (any or all) service machine. The service machine may use this information to create new services. The new services, which match the keyword, may then be provided to the local machine associated with the keyword, in the manner described above. In yet further embodiments, the CSDP 40 may provide the keyword information to an appropriate (any or all) service machine only after a predetermined number of the same or similar keywords are found on a number of local machines. In this implementation, for example, the keywords will be provided to the service machine only after a set threshold number of keywords, e.g., 10, are found on the local machines. In still further embodiments, the CSDP 40 may send out a query to other service machines, in an attempt to locate a service matching the keyword(s).

In operation, the LSARD 30 runs as a low priority process. Also, the LSARD 40 periodically polls its local machine, as discussed above, to find keywords. This may include, for example, decompiling all deployed code, except where specified by the owner, and scan the codes for keywords. The LSARD 30 can also scan any exposed content files (e.g., html, pdf, .doc, etc) for new keywords. All new keywords can be added to its master keyword list, checking for duplicates prior to placing the new keywords into the master keyword list. More particularly, when the LSARD is first-time deployed, the following steps are contemplated by the invention:

(i) scan its host machine for executable files, except where specified by the machine owner;

(ii) decompile all the files above, and assemble a list of all the non-trivial words (an example of a trivial word may be, for example, “a”, “the”, etc., plus programming keywords such as “if”, “while”, etc.). This will be the beginning of the keyword list of the LSARD.

(iii) scan all content files (html., pdf., doc., etc.) for new keywords, and add the new keywords to the list of the LSARD, if not already present.

FIG. 3 is a flow diagram implementing steps of the invention, which may be, implemented in the environment of FIGS. 1 and/or 2. FIG. 3 may equally represent a high-level block diagram of the invention. The steps of FIG. 3 may be implemented and executed from either a server, in a client server relationship, or they may run on a user workstation with operative information conveyed to the user workstation to balance workload Additionally, the invention can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment containing both hardware and software elements.

In an embodiment, the invention is implemented in software, which includes but is not limited to firmware, resident software, microcode, etc. Furthermore, the invention can take the form of a computer program product accessible from a computer-usable or computer-readable medium providing program code for use by or in connection with a computer or any instruction execution system. The software and/or computer program product can be implemented in the environment of FIG. 1. For the purposes of this description, a computer-usable or computer readable medium can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The medium can be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system (or apparatus or device) or a propagation medium. Examples of a computer-readable medium include a semiconductor or solid state memory, magnetic tape, a removable computer diskette, a random access memory (RAM), a read-only memory (ROM), a rigid magnetic disk and an optical disk. Current examples of optical disks include compact disk -read only memory (CD-ROM), compact disk-read/write (CD-R/W) and DVD.

Referring back to FIG. 3, at step 300, the processes of the invention begin searching for keywords on exposed portions (applications, files, etc.) of the local machine. This may be performed on a periodic basis, e.g., predetermined basis. The keywords may be any words found in the exposed portions of the local machine, or provided by a third party source such as, for example, the CSDP. At step 305, the keywords are received by the CSDP, indexed, and if necessary, the index is refreshed. At step 310, periodically, the CSDP may receive keywords from the service machines, which are maintained in the master keyword list for each service group. The process of step 310 may be performed simultaneously or concurrently with the processes of steps 300 and 305.

More specifically, in embodiments, at step 310, the CSDP, for each service group, polls the service group to see if any new service was created. For every new service, the CSDP adds the new service to CSDP service list for the service group, and the CSDP retrieves the list of new keywords associated with the new service, either from the service machine, itself, or the UDDI. At step 315, the CSDP compares the list of new service keywords to the keywords received from the local machines. At step 320, for every keyword match, the CSDP automatically notifies the customer of the existence of the new service, if not already notified, and, in embodiments, the connection information of the respective service machine offering such service. This notification may be sent to the customer by email, telephone or other known methods. In embodiments, the local machine directly connects to the respective service machine or, alternatively, the CSDP will provide the connection directly to the service machine.

If there are no matches found at step 320, at step 325, the CSDP may query other services, wait a predetermined amount of time to again query its database to determine new matches and/or send the keyword(s) to the service provider. If there are no matches, the process may continue in a loop until a service is provided or found, while keeping the local machine updated of the status, at step 330. Alternatively, at step 335, if there are no matches, the service provider may create a new service that matches the keyword. The process would continue at step 310.

While the invention has been described in terms of embodiments, those skilled in the art will recognize that the invention can be practiced with modifications and in the spirit and scope of the appended claims. 

1. A method, comprising: receiving a keyword from a daemon residing on a local machine, wherein the keyword is found by the daemon during a periodic searching of the local machine for keywords contained in a master keyword list; locating a service associated with the keyword; and notifying the local machine about the service that matches the keyword, wherein: the receiving, the locating, and the notifying are performed by a Central Service Discovery Program (CSDP) running on a computing device that is external to the local machine; the daemon is a Local Sense-And-Respond Daemon (LSARD) which searches for the keywords on the local machine and, in turn, responds by way of an extension to a Universal Description, Discovery and Integration (UDDI); the LSARD resides on the local machine as part of a Services-Oriented Architecture (SOA); the LSARD notifies the CSDP of new or potential services required by the local machine; the CSDP, as the extension of the UDDI, automatically matches needs of the local machine with a service machine using the keywords; the CSDP works as a message hub in the SOA; the CSDP maintains a list of keywords associated with one or more service groups; and the CSDP keeps service information with multiple attributes about a nature of the service groups including at least provider ID.
 2. The method of claim 1, wherein the list of keywords is provided by the UDDI or the service machine.
 3. The method of claim 1, wherein the list of keywords is maintained for each of the one or more service groups connected to the extension.
 4. The method of claim 1, wherein the keyword is indexed prior to the locating.
 5. The method of claim 1, wherein the list of keywords is periodically polled to determine if there are any new matches with the keyword.
 6. The method of claim 1, wherein the keyword is found from exposed data sources on the local machine.
 7. The method of claim 1, wherein the notifying includes automatically providing connection information to the service machine offering the service.
 8. The method of claim 1, further comprising providing the keyword found on the local machine to the service machine.
 9. The method of claim 8, wherein the providing is performed after a predetermined number of a same keyword is received.
 10. The method of claim 1, further comprising polling the one or more service groups to determine whether any new services were created.
 11. The method of claim 1, wherein the steps of claim 1 are provided by a service provider.
 12. The method of claim 1, wherein a service provider at least one of creates, maintains, deploys and supports a computer infrastructure that performs the steps of claim
 1. 13. The method of claim 1, wherein the steps of claim 1 are provided on a subscription, advertising, and/or fee basis.
 14. A computer program product comprising a computer usable storage medium having readable program code embodied in the storage medium is provided, the computer program product includes at least one component to perform the steps of claim
 1. 15. The method of claim 1, wherein the Central Service Discovery Program further performs the steps: providing the master keyword list to the daemon; maintaining a database of found keywords obtained from the local machine; updating the list of keywords as a result of additional or new services listed in the UDDI; periodically searching the database for matches between the additional or new services and the found keywords stored in the database; automatically providing service information to the local machine based on a match found during the periodic searching; and providing keyword information to the service machine after a predetermined number of a same keyword is received from a plurality of local machines including the local machine.
 16. The method of claim 1, wherein: the CSDP categorizes services into different groups by using criteria on top of the multiple attributes such that a service group dynamic, existing in run-time data processing, and all of the services are persistent as siblings in one list; and the master keyword list is resident on and maintained by the CSDP.
 17. The method of claim 16, wherein the LSARD searches all exposed data sources including applications and files for keywords, or words that were not previously found in prior searches.
 18. The method of claim 17, wherein the exposed data sources include email and content files.
 19. The method of claim 18, wherein the content files include html, pdf, and .doc.
 20. The method of claim 17, wherein the periodic searching is performed at predetermined set intervals.
 21. The method of claim 17, wherein: the CSDP indexes the keyword, and compares the keyword to the keywords maintained in a set of service lists of the CSDP, for each service group connected to the CSDP; and the index is refreshed with the found keywords, as well as any new keywords provided by the service machine or UDDI. once refreshed, the CSDP will determine if there are any matches between the keyword(s) found on the local machine and the keywords maintained in the set of service lists; the keyword from either the local machine or service machine is provided via email to the CSDP.
 22. The method of claim 21, wherein: if a keyword match is found, the CSDP determines which service machine provides a service matching the keyword found on the local machine; once the CSDP determines the matching service provider, the CSDP provides connection information of the service machine to the local machine; and CSDP acts as a conduit between the CSDP and the local machine, by providing the service directly to the local machine via the service machine.
 23. The method of claim 22, wherein: the CSDP maintains a database of the keywords provided by the local machine and, if the keyword match is not initially found, the CSDP periodically searches its database for matches; when additional or new services are listed in the UDDI, the CSDP updates its master keyword list with keywords associated with the services; the CSDP periodically searches its database to determine if there are any matches with the new or additional services and the keywords found on the lcoal machine already stored within its database; and if any matches are found with the saved keywords and the keywords associated with new services in the master keyword list maintained by the CSDP, the CSDP provides connection information of the service machine having the new or additional service to the local machine.
 24. A method comprising: receiving at a local machine a master keyword list from a third party, wherein the third party is external to the local machine; periodically searching the local machine for keywords contained in the master keyword list; providing the keywords to the third party; and receiving notification from the third party that at least one keyword matches a service provided by a service machine, wherein: the periodically searching and the providing are performed by a daemon residing on the local machine the daemon is a Local Sense-And-Respond Daemon (LSARD) which searches for the keywords on the local machine and, in turn, responds by way of an extension to a Universal Description, Discovery and Integration (UDDI); the LSARD resides on the local machine as part of a Services-Oriented Architecture (SOA); the LSARD notifies a Central Service Discovery Program (CSDP) of new or potential services required by the local machine; the CSDP, as the extension of the UDDI, automatically matches needs of the local machine with the service of the service machine using the keywords; the CSDP works as a message hub in the SOA; the CSDP maintains a list of the keywords associated with one or more service groups; and the CSDP keeps service information with multiple attributes about a nature of the service groups including at least provider ID.
 25. The method of claim 24, further comprising searching a list of keywords maintained by the extension to the UDDI for a match with the keywords.
 26. The method of claim 25, wherein the list of keywords is maintained for each of the one or more service groups connected to the extension.
 27. The method of claim 24, wherein the notification includes automatically providing connection information of the service machine offering the service.
 28. The method of claim 24, wherein the keywords are found from exposed data sources on the local machine.
 29. The method of claim 24, further comprising polling the one or more service groups to determine whether any new services were created which are associated with at least one of the keywords.
 30. The method of claim 24, further comprising: scanning the local machine for executable files; decompiling the executable files and assembling a list of non-trivial words for adding to the master keyword list; and scanning content files for new words and adding the new words to the master keyword list, wherein the scanning the local machine, the decompiling, and the scanning the local content files are performed by the daemon prior to the searching for keywords contained in the master keyword list on the local machine, and the searching is performed on a periodic basis according to a predetermined schedule.
 31. A method comprising: receiving at a local machine a master keyword list from a third party, wherein the third party is external to the local machine; periodically searching the local machine for keywords contained in the master keyword list; providing the keywords to the third party; receiving notification from the third party that at least one keyword matches a service provided by a service machine; searching a list of keywords maintained by an extension to a Universal Description, Discovery, and Integration (UDDI) for a match with the keywords, wherein the list of keywords is periodically polled to determine if there are any new matches with the at least one keyword and the periodically searching the local machine for keywords is performed by a daemon residing on the local machine, and wherein: the daemon is a Local Sense-And-Respond Daemon (LSARD) which searches for the keywords on the local machine and, in turn, responds by way of the extension to the UDDI; the LSARD resides on the local machine as part of a Services-Oriented Architecture (SOA); the LSARD notifies a Central Service Discovery Program (CSDP) of new or potential services required by the local machine; the CSDP, as the extension of the UDDI, automatically matches needs of the local machine with the service of the service machine using the keywords; the CSDP works as a message hub in SOA; the CSDP maintains a list of the keywords associated with one or more service groups; and the CSDP keeps service information with multiple attributes about a nature of the service groups including at least provider ID.
 32. A method for deploying an application for discovering and providing consumer services in a computing environment, comprising providing a computer infrastructure being configured to: provide a master keyword list to a daemon residing on a local machine, wherein the daemon is configured to periodically search the local machine for keywords contained in the master keyword list; match a keyword received from the daemon of the local machine to a keyword list maintained by an extension to a Universal Description, Discovery, and Integration (UDDI), the keyword list having keywords which are associated with services offered by one or more service groups; and provide service information which matches the keyword to the local machine, wherein: the daemon is a Local Sense-And-Respond Daemon (LSARD) which searches for the keywords on the local machine and, in turn, responds by way of the extension to the UDDI; the LSARD resides on the local machine as part of a Services-Oriented Architecture (SOA); the LSARD notifies a Central Service Discovery Program (CSDP) of new or potential services required by the local machine; the CSDP, as the extension of the UDDI, automatically matches needs of the local machine with a service of a service machine using the keywords; the CSDP works as a message hub in SOA; and the CSDP keeps service information with multiple attributes about a nature of the one or more service groups including at least provider ID.
 33. The method of claim 32, wherein the keyword list is provided by the UDDI or the service machine.
 34. The method of claim 32, wherein the computer infrastructure is configured to maintain the keyword list for each of the one or more service groups connected to the extension.
 35. The method of claim 32, wherein the computer infrastructure is configured to index the keyword prior to the matching.
 36. The method of claim 32, wherein the computer infrastructure is configured to periodically poll the keyword list to determine if there are any new matches with the keyword found on the local machine.
 37. The method of claim 32, wherein the computer infrastructure is configured to automatically provide connection information to the service machine offering the service.
 38. The method of claim 32, wherein the computer infrastructure is configured to provide the keyword to the service machine after a predetermined number of a same keyword is received.
 39. The method of claim 38, further comprising polling the one or more service groups to determine whether any new services were created.
 40. The method of claim 32, wherein the computer infrastructure is provided by a service provider.
 41. The method of claim 32, wherein a service provider at least one of creates, maintains, deploys and supports the computer infrastructure that performs the steps of claim
 32. 42. A system comprising a server having a database containing a list of keywords associated with one or more services offered by one or more service groups, and at least one of a hardware and software component for: providing a master keyword list to a daemon residing on a local machine, receiving a found keyword from the daemon as a result of a periodic search of the local machine, matching the list of keywords with the found keyword obtained by the daemon residing on the local machine, and providing service information to the local machine associated with the found keyword, when a match is found with the found keyword, wherein: the daemon is a Local Sense-And-Respond Daemon (LSARD) which searches for the keywords on the local machine and, in turn, responds by way of an extension to a Universal Description, Discovery and Integration (UDDI); the LSARD resides on the local machine as part of a Services-Oriented Architecture (SOA); the LSARD notifies a Central Service Discovery Program (CSDP) of new or potential services required by the local machine; the CSDP, as the extension of the UDDI, automatically matches needs of the local machine with services of service machines using the keywords; the CSDP works as a message hub in SOA; the CSDP maintains a list of the keywords associated with one or more service groups; and the CSDP keeps service information with multiple attributes about a nature of the service groups including at least provider ID.
 43. The system of claim 42, wherein the system is platform independent and configured to be implemented within any database, on a single workstation or provided over a distributed network. 